8 citations · 17 across the 7 of their papers we have counts for
8 papers
Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents
Abolfazl Younesi
Small language models (SLMs) are attractive as local agent controllers because they reduce remote inference, latency, and deployment footprint, yet structured tool errors can cause…
EFaaS: A Quantum-Classical Serverless Entangled Scheduler for Hybrid Variational Algorithms
Abolfazl Younesi, Nouhaila Innan, Alberto Marchisio +1
As quantum computing enters the Utility Era, realizing near-term advantage relies heavily on Hybrid Variational Quantum Algorithms (VQAs). These algorithms require a tightly couple…
Splitwise: Collaborative Edge-Cloud Inference for LLMs via Lyapunov-Assisted DRL
Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad +3
Deploying large language models (LLMs) on edge devices is challenging due to their limited memory and power resources. Cloud-only inference reduces device burden but introduces hig…
FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
Abolfazl Younesi, Leon Kiss, Zahra Najafabadi Samani +2
Federated learning (FL) enables collaborative model training while preserving data privacy. However, it remains vulnerable to malicious clients who compromise model integrity throu…
AutoStreamPipe: LLM Assisted Automatic Generation of Data Stream Processing Pipelines
Abolfazl Younesi, Zahra Najafabadi Samani, Thomas Fahringer
Data pipelines are essential in stream processing as they enable the efficient collection, processing, and delivery of real-time data, supporting rapid data analysis. In this paper…
GAP: Game Theory-Based Approach for Reliability and Power Management in Emerging Fog Computing
Abolfazl Younesi, Mohsen Ansari, Alireza Ejlali +3
Fog computing brings about a transformative shift in data management, presenting unprecedented opportunities for enhanced performance and reduced latency. However, one of the key a…
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli +3
In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object…
A transfer learning approach with convolutional neural network for Face Mask Detection
Abolfazl Younesi, Reza Afrouzian, Yousef Seyfari
Due to the epidemic of the coronavirus (Covid-19) and its rapid spread around the world, the world has faced an enormous crisis. To prevent the spread of the coronavirus, the World…